N Saeed1, J V Hajnal, A Oatridge. 1. Picker Research Laboratory, GEC Hirst Research Centre, Borehamwood, England.
Abstract
PURPOSE: An automated procedure has been developed to isolate the brain in single/multislice or whole-volume MR images obtained from various sequences. METHOD: T1-weighted, T2-weighted, and inversion recovery images were acquired. The brain segmentation procedure employed (A) a knowledge base that held generic information about the brain in the three orthogonal views and (B) a texture definition and intensity characteristics of features within the head. The brain was segmented by selectively blurring scans using components of B; contour following with region growing was initiated until the isolated feature satisfied the measurements in A. RESULTS: The brain was segmented automatically from 210 subjects (whole volume) and 52 subjects (multi/single slice). Detailed analysis of seven segmented brains showed that < 0.8% of the contour pixels were erroneously identified. Whole-volume head scans consisting of 140 x 256 x 256 pixels were segmented in < 30 min. CONCLUSION: A robust, fast, and efficient procedure has been developed to segment the brain from MR images.
PURPOSE: An automated procedure has been developed to isolate the brain in single/multislice or whole-volume MR images obtained from various sequences. METHOD: T1-weighted, T2-weighted, and inversion recovery images were acquired. The brain segmentation procedure employed (A) a knowledge base that held generic information about the brain in the three orthogonal views and (B) a texture definition and intensity characteristics of features within the head. The brain was segmented by selectively blurring scans using components of B; contour following with region growing was initiated until the isolated feature satisfied the measurements in A. RESULTS: The brain was segmented automatically from 210 subjects (whole volume) and 52 subjects (multi/single slice). Detailed analysis of seven segmented brains showed that < 0.8% of the contour pixels were erroneously identified. Whole-volume head scans consisting of 140 x 256 x 256 pixels were segmented in < 30 min. CONCLUSION: A robust, fast, and efficient procedure has been developed to segment the brain from MR images.
Authors: R Rathbone; S J Counsell; O Kapellou; L Dyet; N Kennea; J Hajnal; J M Allsop; F Cowan; A D Edwards Journal: Neurology Date: 2011-10-12 Impact factor: 9.910
Authors: Olga Kapellou; Serena J Counsell; Nigel Kennea; Leigh Dyet; Nadeem Saeed; Jaroslav Stark; Elia Maalouf; Philip Duggan; Morenike Ajayi-Obe; Jo Hajnal; Joanna M Allsop; James Boardman; Mary A Rutherford; Frances Cowan; A David Edwards Journal: PLoS Med Date: 2006-08 Impact factor: 11.069